Job Properties
  • Job Type
    Full-time Position
  • Background
  • Languages
  • Experience Required
    1 - 2 Years
  • Degree Required
    • Province
    • Date Posted
      November 16,2020
    • IMG_6430
    • Career Consultation
    • CV CHECK
    • internship package
    • Premium Package

    Backend Developer - Customer Insights

    Backend Developer - Customer Insights

    At, data drives our decisions. Technology is at our core. And innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We’re the thrill of the first night in a new place. The excitement of the next morning. The friends you make. The journeys you take. The sights you see. And the food you sample. Through our products, partners and people, we make it easier for everyone to experience the world.

    The Customer Insights department is looking for data savvy professionals to join our team of data scientists. You will have the opportunity to build data products that will be used across various departments of our business to help us predict and understand our customers’ behaviour, enabling us to offer them the most relevant personalised experience.

    The NITS team (No-Intent-To-Stay) works on our machine learning models that predict the probability of a cancellation. As a Backend Developer in the NITS team, you’ll have the chance to work with one of the most established and widely used ML models at and play an integral role in taking it to the next level! You’ll have the chance to collaborate closely with other Analysts, Developers, Product Managers and various business stakeholders and take full ownership of your work - from the initial idea generation phase to the implementation of the final product.

    You will thrive at if you are result-focused, innovative, and with a solid quantitative background, but most of all by understanding our complex business model and the logic behind it.


    • Work in a multi-disciplined team, responsible for productionizing, scaling and optimizing performance of our Machine Learning Models
    • Build and maintain accompanying monitoring and alerting systems to ensure healthy systems and accurate output
    • You will work independently and will be responsible for making technical decisions within a team.
    • Acting as an intermediary for problems, with both technical and non-technical audiences
    • Contributing to the growth of through interviewing, on-boarding, or other recruitment efforts


    • Minimum of 3 years software development experience; using 2 or more server side programming languages. Preferably Perl, Python, (Py)Spark, Java etc.
    • Hands on experience of developing in and working with BigData systems and technologies, such as Hadoop
    • Solid understanding and affinity with fundamental Machine Learning concepts. Experience with Tensorflow is an advantage.
    • Demonstrable experience with MySQL and PostgreSQL or similar relational databases
    • Preferably a university degree in Mathematics or Software Engineering
    • Excellent communication; written and spoken


    • Living and working in Amsterdam, one of the most cosmopolitan cities in Europe
    • Contributing to a high scale, complex, world renowned product and seeing real-time impact of your work on millions of travellers worldwide
    • Working in a fast-paced and performance driven culture
    • Opportunity to utilize technical expertise, leadership capabilities and entrepreneurial spirit
    • Promote and drive impactful and innovative engineering solutions
    • Technical, behavioural and interpersonal competence advancement via on-the-job opportunities, experimental projects, hackathons, conferences and active community participation
    • Competitive compensation and benefits package and some great added perks of working in the home city of is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We strive to move well beyond traditional equal opportunity and work to create an environment that allows everyone to thrive.

    Open Positions from
    Related positions